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RBGL

This is the development version of RBGL; for the stable release version, see RBGL.

An interface to the BOOST graph library


Bioconductor version: Development (3.20)

A fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.

Author: Vince Carey [aut], Li Long [aut], R. Gentleman [aut], Emmanuel Taiwo [ctb] (Converted RBGL vignette from Sweave to RMarkdown / HTML.), Bioconductor Package Maintainer [cre]

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

Citation (from within R, enter citation("RBGL")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("RBGL")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RBGL")
RBGL Overview HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GraphAndNetwork, Network, Software
Version 1.81.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License Artistic-2.0
Depends graph, methods
Imports methods
System Requirements
URL http://www.bioconductor.org
See More
Suggests Rgraphviz, XML, RUnit, BiocGenerics, BiocStyle, knitr
Linking To BH
Enhances
Depends On Me apComplex, BioNet, CellNOptR, fgga, PerfMeas, SubpathwayLNCE
Imports Me BiocPkgTools, biocViews, CAMERA, Category, ChIPpeakAnno, CHRONOS, CytoML, DEGraph, DEsubs, EventPointer, flowWorkspace, GenomicInteractionNodes, GOstats, NCIgraph, OrganismDbi, Streamer, VariantFiltering, BiDAG, clustNet, eff2, HEMDAG, micd, pcalg, rags2ridges, RANKS, SEMgraph, SID
Suggests Me DEGraph, GeneNetworkBuilder, graph, gwascat, KEGGgraph, rBiopaxParser, VariantTools, yeastExpData, archeofrag, maGUI
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package RBGL_1.81.0.tar.gz
Windows Binary RBGL_1.81.0.zip
macOS Binary (x86_64) RBGL_1.81.0.tgz
macOS Binary (arm64) RBGL_1.81.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RBGL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RBGL
Bioc Package Browser https://code.bioconductor.org/browse/RBGL/
Package Short Url https://bioconductor.org/packages/RBGL/
Package Downloads Report Download Stats